{"cells":[{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["g:\\MeTDDI_for_github\\code\\Visualization\\mol_graph.py:2: UserWarning: ignore\n","  warnings.warn('ignore')\n"]}],"source":["from DDI_vis import * "]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[],"source":["weights_path = './weights_for_interpretability.h5' \n","ddi_interpret = DDI_Interpretation(weight_path = weights_path)  "]},{"cell_type":"code","execution_count":3,"metadata":{},"outputs":[],"source":["### case one\n","# Paroxetine (drug_B) and nevirapine (drug_A). the drug B is the perpetrator drug and the drug A is the victim\n","pair_dict_one = {'drug_A':['CC1=C2NC(=O)C3=C(N=CC=C3)N(C3CC3)C2=NC=C1'],\\\n","        'drug_B':['FC1=CC=C(C=C1)[C@@H]1CCNC[C@H]1COC1=CC2=C(OCO2)C=C1']}"]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[],"source":["## step one: first use the predict method\n","ddi_interpret.predict(pair_dict_one)"]},{"cell_type":"code","execution_count":5,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The predicted DDI label is the label1\n"]}],"source":["label_type = np.argmax(np.round(ddi_interpret.predict_prob_,3)[0]) + 1\n","print(f'The predicted DDI label is the label{label_type}')"]},{"cell_type":"markdown","metadata":{},"source":["Drug role interpretation based on the predicted label"]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[{"data":{"text/plain":["'Labels:\\nlabel1: The metabolism of Drug 1 can be decreased when combined with Drug 2.\\nlabel2: The metabolism of Drug 1 can be increased when combined with Drug 2.\\nlabel3: The metabolism of Drug 2 can be decreased when combined with Drug 1.\\nlabel4: The metabolism of Drug 2 can be increased when combined with Drug 1.\\nPlease note that label1 and label2 are the correct metabolic DDI descriptions in DrugBank (the semantic order), \\nwhile label3 and label4 are the incorrect descriptions. \\nMeTDDI is quite sensitive to changes in the drug input order.\\nUsing paroxetine and nevirapine as an example, in the above input, we take drug_B as paroxetine and drug_A as nevirapine. \\nIf the predicted label for this pair is label1, we can interpret that paroxetine is the perpetrator in this DDI, \\nwhile nevirapine is the victim, and paroxetine is responsible for the DDI via enzyme inhibition.\\n\\nIf we change the input order (with nevirapine as drug_B and the perpetrator), the predicted result will be label3. \\nThis suggests that the input order is incorrect, and you need to change the input order. \\nThe same interpretation applies to label2 and label4.\\n'"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["\"\"\"Labels:\n","label1: The metabolism of Drug 1 can be decreased when combined with Drug 2.\n","label2: The metabolism of Drug 1 can be increased when combined with Drug 2.\n","label3: The metabolism of Drug 2 can be decreased when combined with Drug 1.\n","label4: The metabolism of Drug 2 can be increased when combined with Drug 1.\n","Please note that label1 and label2 are the correct metabolic DDI descriptions in DrugBank (the semantic order), \n","while label3 and label4 are the incorrect descriptions. \n","MeTDDI is quite sensitive to changes in the drug input order.\n","Using paroxetine and nevirapine as an example, in the above input, we take drug_B as paroxetine and drug_A as nevirapine. \n","If the predicted label for this pair is label1, we can interpret that paroxetine is the perpetrator in this DDI, \n","while nevirapine is the victim, and paroxetine is responsible for the DDI via enzyme inhibition.\n","\n","If we change the input order (with nevirapine as drug_B and the perpetrator), the predicted result will be label3. \n","This suggests that the input order is incorrect, and you need to change the input order. \n","The same interpretation applies to label2 and label4.\n","\"\"\""]},{"cell_type":"markdown","metadata":{},"source":["Visualization"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<PIL.PngImagePlugin.PngImageFile image mode=RGB size=250x250 at 0x20F548ABD68>"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["## Step three: visualize the perpetrator Paroxetine (drug_B) \n","smi = ddi_interpret.pair_dict['drug_B'][0]\n","weights = ddi_interpret.weights_dict_['drug_B'] \n","ddi_interpret.visualize(smi,weights[0][0],img_size = 250,if_vis = True,svg = False) "]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[],"source":["## Case two \n","# Dihydralazine (drug_B) and albendazole (drug_A). the drug B is the perpetrator drug and the drug A is the victim\n","pair_dict_two = {'drug_A':['CCCSC1=CC2=C(C=C1)N=C(NC(=O)OC)N2'],\\\n","        'drug_B':['NN=C1NNC(=NN)C2=CC=CC=C12']}"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["## step one: first use the predict method\n","ddi_interpret.predict(pair_dict_two)"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The predicted DDI label is the label1\n"]}],"source":["## Step two: make sure the predicted result equals the label 1 (The metabolism of Drug 1 can be decreased when combined with Drug 2.), \n","label_type = np.argmax(np.round(ddi_interpret.predict_prob_,3)[0]) + 1\n","print(f'The predicted DDI label is the label{label_type}')"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<PIL.PngImagePlugin.PngImageFile image mode=RGB size=250x250 at 0x20F66379518>"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["## Step three: visualize the perpetrator (drug_B)\n","smi = ddi_interpret.pair_dict['drug_B'][0]\n","weights = ddi_interpret.weights_dict_['drug_B'] \n","ddi_interpret.visualize(smi,weights[0][0],img_size = 250,if_vis = True,svg = False) "]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[],"source":["## Case three \n","# Cobicistat (drug_B) and propafenone (drug_A). the drug B is the perpetrator drug and the drug A is the victim\n","pair_dict_three = {'drug_A':['CCCNCC(O)COC1=C(C=CC=C1)C(=O)CCC1=CC=CC=C1'],\\\n","        'drug_B':['CC(C)C1=NC(CN(C)C(=O)N[C@@H](CCN2CCOCC2)C(=O)N[C@H](CC[C@H](CC2=CC=CC=C2)NC(=O)OCC2=CN=CS2)CC2=CC=CC=C2)=CS1']}"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[],"source":["## step one: first use the predict method\n","ddi_interpret.predict(pair_dict_three)"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The predicted DDI label is the label1\n"]}],"source":["## Step two: make sure the predicted result equals the label 1 (The metabolism of Drug 1 can be decreased when combined with Drug 2.), \n","label_type = np.argmax(np.round(ddi_interpret.predict_prob_,3)[0]) + 1\n","print(f'The predicted DDI label is the label{label_type}')"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<PIL.PngImagePlugin.PngImageFile image mode=RGB size=250x250 at 0x20F663BCBA8>"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["## Step three: visualize the perpetrator (drug_B)\n","smi = ddi_interpret.pair_dict['drug_B'][0]\n","weights = ddi_interpret.weights_dict_['drug_B'] \n","ddi_interpret.visualize(smi,weights[0][0],img_size = 250,if_vis = True,svg = False) "]}],"metadata":{"kernelspec":{"display_name":"tensorflow2.5","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.0"},"orig_nbformat":4},"nbformat":4,"nbformat_minor":2}
